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BIG MRI data and Machine Learning

Posted by: Postdoc positions by NIH

Posted date: 2017-Jul-13

Location: USA

Position Description:The primary project may include development of techniques for prediction of surgical / neurodevelopmental outcome using machine (DEEP)-learning algorithms applied to BIG DATA combining imaging-features with psychological / behavioral parameters, clinical parameters and genetic data. The laboratory provides ample opportunity for the development of innovative, focused research and a broad collaborative clinical neuroscience experience as well as for numerous publications in high impact journals. The other research focuses on developing image processing and image analysis techniques for multivariate analysis of various imaging-features that are extracted on human brain MRI. One possible study that the selected postdoc fellow may participate in is to advance part of the present pipeline for morphometry of neonatal and infant brain MRI and/or for diffusion tensor imaging (DTI) or resting-state fMRI analysis (rs-fMRI), to automatically perform multicontrast image analyses.